ProgLearn
neurodata
NeuroData's package for exploring and using progressive learning algorithms
Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.
neurodata
NeuroData's package for exploring and using progressive learning algorithms
nikopueringer
Corridor Key 2.0 para todo lo que necesitas de las pantallas verdes y azules
nishitpatel01
List of Data Science and Machine Learning Resource that I frequently use
nlp-uoregon
Noble-Lab
numerai
A collection of scripts and notebooks to help you get started quickly.
oguzeldereli
Two-timescale threshold flips (TTF): training and converting ternary {-1,0,1} LLMs without full-precision master weights. ~1 byte of optimizer state per weight; 23B trains on a 16 GB GPU, Qwen3.8-27B converted and recovered on one 24 GB card.
onnx
open-edge-platform
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
open-mmlab
open-spaced-repetition
OpenADMET
Machine learning workflows for the OpenADMET project
openkim
KIM-based Learning-Integrated Fitting Framework for interatomic potentials.
opentrack
Training of machine learning models for the tracker
openvinotoolkit
Pre-trained Deep Learning models and demos (high quality and extremely fast)
openvinotoolkit
optuna
The registry of the OptunaHub packages
OscarSouth
The Harmonic Algorithm by Oscar South - A Project Spanning Music Analysis, Functional Programming & Machine Learning. Check out the website below for docs, demonstrations and articles, Please leave a star on the repo above if you think this thing looks cool :)
outerloop-science
Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests
PaddlePaddle

An End-to-End Deep Learning Toolkit for Materials Science
padreati
paucablop
The scikit-learn-native foundation package for chemometrics 🧪 🤖
pauloacs
Pbatch